Pandas Profiling Report

Dataset statistics

Number of variables	22
Number of observations	1311
Missing cells	1065
Missing cells (%)	3.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	225.5 KiB
Average record size in memory	176.1 B

Variable types

Categorical	3
Numeric	19

Warnings

`Producer` has a high cardinality: 675 distinct values	High cardinality
`altitude_low_meters` is highly correlated with `altitude_high_meters` and 1 other fields	High correlation
`altitude_high_meters` is highly correlated with `altitude_low_meters` and 1 other fields	High correlation
`altitude_mean_meters` is highly correlated with `altitude_low_meters` and 1 other fields	High correlation
`Producer` has 230 (17.5%) missing values	Missing
`Processing Method` has 152 (11.6%) missing values	Missing
`altitude_low_meters` has 227 (17.3%) missing values	Missing
`altitude_high_meters` has 227 (17.3%) missing values	Missing
`altitude_mean_meters` has 227 (17.3%) missing values	Missing
`altitude_low_meters` is highly skewed (γ1 = 20.0978744)	Skewed
`altitude_high_meters` is highly skewed (γ1 = 20.08565748)	Skewed
`altitude_mean_meters` is highly skewed (γ1 = 20.09518078)	Skewed
`Moisture` has 252 (19.2%) zeros	Zeros
`Category.One.Defects` has 1111 (84.7%) zeros	Zeros
`Quakers` has 1216 (92.8%) zeros	Zeros
`Category.Two.Defects` has 362 (27.6%) zeros	Zeros

Reproduction

Analysis started	2021-02-14 13:11:01.139960
Analysis finished	2021-02-14 13:11:42.398674
Duration	41.26 seconds
Software version	pandas-profiling v2.10.1
Download configuration	config.yaml

Country of Origin
Categorical

Distinct	36
Distinct (%)	2.7%
Missing	1
Missing (%)	0.1%
Memory size	10.4 KiB

Mexico	236
Colombia	183
Guatemala	181
Brazil	132
Taiwan	75
Other values (31)	503

Length

Max length	28
Median length	8
Mean length	8.893129771
Min length	4

Characters and Unicode

Total characters	11650
Distinct characters	47
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.6%

Sample

1st row	Ethiopia
2nd row	Ethiopia
3rd row	Guatemala
4th row	Ethiopia
5th row	Ethiopia

Value	Count	Frequency (%)
Mexico	236	18.0%
Colombia	183	14.0%
Guatemala	181	13.8%
Brazil	132	10.1%
Taiwan	75	5.7%
United States (Hawaii)	73	5.6%
Honduras	53	4.0%
Costa Rica	51	3.9%
Ethiopia	44	3.4%
Tanzania, United Republic Of	40	3.1%
Other values (26)	242	18.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
mexico	236	14.1%
colombia	183	11.0%
guatemala	181	10.8%
brazil	132	7.9%
united	125	7.5%
states	85	5.1%
taiwan	75	4.5%
hawaii	73	4.4%
honduras	53	3.2%
rica	51	3.1%
Other values (35)	477	28.5%

Most occurring characters

Value	Count	Frequency (%)
a	1933	16.6%
i	1267	10.9%
o	805	6.9%
e	742	6.4%
l	626	5.4%
t	590	5.1%
n	502	4.3%
m	384	3.3%
	361	3.1%
c	358	3.1%
Other values (37)	4082	35.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9423	80.9%
Uppercase Letter	1671	14.3%
Space Separator	361	3.1%
Open Punctuation	77	0.7%
Close Punctuation	77	0.7%
Other Punctuation	41	0.4%

Most frequent character per category

Value	Count	Frequency (%)
a	1933	20.5%
i	1267	13.4%
o	805	8.5%
e	742	7.9%
l	626	6.6%
t	590	6.3%
n	502	5.3%
m	384	4.1%
c	358	3.8%
u	323	3.4%
Other values (13)	1893	20.1%

Value	Count	Frequency (%)
M	256	15.3%
C	251	15.0%
G	182	10.9%
U	151	9.0%
T	147	8.8%
B	134	8.0%
H	132	7.9%
S	106	6.3%
R	96	5.7%
E	66	3.9%
Other values (9)	150	9.0%

Value	Count	Frequency (%)
,	40	97.6%
?	1	2.4%

Value	Count	Frequency (%)
	361	100.0%

Value	Count	Frequency (%)
(	77	100.0%

Value	Count	Frequency (%)
)	77	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11094	95.2%
Common	556	4.8%

Most frequent character per script

Value	Count	Frequency (%)
a	1933	17.4%
i	1267	11.4%
o	805	7.3%
e	742	6.7%
l	626	5.6%
t	590	5.3%
n	502	4.5%
m	384	3.5%
c	358	3.2%
u	323	2.9%
Other values (32)	3564	32.1%

Value	Count	Frequency (%)
	361	64.9%
(	77	13.8%
)	77	13.8%
,	40	7.2%
?	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11650	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	1933	16.6%
i	1267	10.9%
o	805	6.9%
e	742	6.4%
l	626	5.4%
t	590	5.1%
n	502	4.3%
m	384	3.3%
	361	3.1%
c	358	3.1%
Other values (37)	4082	35.0%

Producer
Categorical

HIGH CARDINALITY
MISSING

Distinct	675
Distinct (%)	62.4%
Missing	230
Missing (%)	17.5%
Memory size	10.4 KiB

La Plata	30
Ipanema Agrícola SA	22
Doi Tung Development Project	17
Ipanema Agricola	12
VARIOS	12
Other values (670)	988

Length

Max length	100
Median length	19
Mean length	20.54024052
Min length	1

Characters and Unicode

Total characters	22204
Distinct characters	222
Distinct categories	12 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	526 ?
Unique (%)	48.7%

Sample

1st row	METAD PLC
2nd row	METAD PLC
3rd row	Yidnekachew Dabessa Coffee Plantation
4th row	METAD PLC
5th row	HVC

Value	Count	Frequency (%)
La Plata	30	2.3%
Ipanema Agrícola SA	22	1.7%
Doi Tung Development Project	17	1.3%
Ipanema Agricola	12	0.9%
VARIOS	12	0.9%
Ipanema Agricola S.A	11	0.8%
ROBERTO MONTERROSO	10	0.8%
LA PLATA	9	0.7%
AMILCAR LAPOLA	9	0.7%
Reinerio Zepeda	9	0.7%
Other values (665)	940	71.7%
(Missing)	230	17.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
de	86	2.5%
	65	1.9%
coffee	64	1.9%
la	60	1.8%
s.a	50	1.5%
ipanema	50	1.5%
plata	41	1.2%
agricola	37	1.1%
ltd	33	1.0%
sa	30	0.9%
Other values (1241)	2902	84.9%

Most occurring characters

Value	Count	Frequency (%)
	2392	10.8%
A	1473	6.6%
a	1174	5.3%
R	962	4.3%
E	961	4.3%
e	902	4.1%
O	886	4.0%
o	824	3.7%
I	758	3.4%
L	674	3.0%
Other values (212)	11198	50.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10990	49.5%
Lowercase Letter	8057	36.3%
Space Separator	2392	10.8%
Other Punctuation	373	1.7%
Other Letter	233	1.0%
Decimal Number	99	0.4%
Dash Punctuation	17	0.1%
Open Punctuation	14	0.1%
Close Punctuation	14	0.1%
Math Symbol	12	0.1%
Other values (2)	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
林	12	5.2%
張	7	3.0%
曾	6	2.6%
政	5	2.1%
倫	5	2.1%
黃	5	2.1%
俊	5	2.1%
方	4	1.7%
王	4	1.7%
宏	4	1.7%
Other values (122)	176	75.5%

Value	Count	Frequency (%)
a	1174	14.6%
e	902	11.2%
o	824	10.2%
n	608	7.5%
r	607	7.5%
i	554	6.9%
l	392	4.9%
t	392	4.9%
s	328	4.1%
u	322	4.0%
Other values (24)	1954	24.3%

Value	Count	Frequency (%)
A	1473	13.4%
R	962	8.8%
E	961	8.7%
O	886	8.1%
I	758	6.9%
L	674	6.1%
N	620	5.6%
S	610	5.6%
C	601	5.5%
M	430	3.9%
Other values (22)	3015	27.4%

Value	Count	Frequency (%)
0	20	20.2%
2	20	20.2%
1	16	16.2%
3	12	12.1%
9	11	11.1%
4	8	8.1%
6	5	5.1%
7	3	3.0%
5	2	2.0%
8	2	2.0%

Value	Count	Frequency (%)
.	195	52.3%
,	95	25.5%
/	53	14.2%
&	13	3.5%
'	6	1.6%
:	6	1.6%
;	5	1.3%

Value	Count	Frequency (%)
	2392	100.0%

Value	Count	Frequency (%)
\|	12	100.0%

Value	Count	Frequency (%)
-	17	100.0%

Value	Count	Frequency (%)
(	14	100.0%

Value	Count	Frequency (%)
)	14	100.0%

Value	Count	Frequency (%)
’	2	100.0%

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19047	85.8%
Common	2924	13.2%
Han	233	1.0%

Most frequent character per script

Value	Count	Frequency (%)
林	12	5.2%
張	7	3.0%
曾	6	2.6%
政	5	2.1%
倫	5	2.1%
黃	5	2.1%
俊	5	2.1%
方	4	1.7%
王	4	1.7%
宏	4	1.7%
Other values (122)	176	75.5%

Value	Count	Frequency (%)
A	1473	7.7%
a	1174	6.2%
R	962	5.1%
E	961	5.0%
e	902	4.7%
O	886	4.7%
o	824	4.3%
I	758	4.0%
L	674	3.5%
N	620	3.3%
Other values (56)	9813	51.5%

Value	Count	Frequency (%)
	2392	81.8%
.	195	6.7%
,	95	3.2%
/	53	1.8%
0	20	0.7%
2	20	0.7%
-	17	0.6%
1	16	0.5%
(	14	0.5%
)	14	0.5%
Other values (14)	88	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21867	98.5%
CJK	233	1.0%
None	102	0.5%
Punctuation	2	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	2392	10.9%
A	1473	6.7%
a	1174	5.4%
R	962	4.4%
E	961	4.4%
e	902	4.1%
O	886	4.1%
o	824	3.8%
I	758	3.5%
L	674	3.1%
Other values (65)	10861	49.7%

Value	Count	Frequency (%)
í	25	24.5%
é	13	12.7%
ó	12	11.8%
Ñ	10	9.8%
Í	9	8.8%
ú	7	6.9%
á	6	5.9%
Ó	4	3.9%
É	4	3.9%
è	4	3.9%
Other values (4)	8	7.8%

Value	Count	Frequency (%)
林	12	5.2%
張	7	3.0%
曾	6	2.6%
政	5	2.1%
倫	5	2.1%
黃	5	2.1%
俊	5	2.1%
方	4	1.7%
王	4	1.7%
宏	4	1.7%
Other values (122)	176	75.5%

Value	Count	Frequency (%)
’	2	100.0%

Number.of.Bags
Real number (ℝ_≥0)

Distinct	130
Distinct (%)	9.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	153.8878719
Minimum	0
Maximum	1062
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	14.5
median	175
Q3	275
95-th percentile	320
Maximum	1062
Range	1062
Interquartile range (IQR)	260.5

Descriptive statistics

Standard deviation	129.7337335
Coefficient of variation (CV)	0.8430406631
Kurtosis	0.2831356219
Mean	153.8878719
Median Absolute Deviation (MAD)	125
Skewness	0.3235951091
Sum	201747
Variance	16830.84162
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
250	241	18.4%
275	176	13.4%
10	108	8.2%
1	87	6.6%
300	71	5.4%
320	70	5.3%
50	42	3.2%
100	37	2.8%
20	35	2.7%
2	29	2.2%
Other values (120)	415	31.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
1	87	6.6%
2	29	2.2%
3	18	1.4%
4	6	0.5%

Value	Count	Frequency (%)
1062	1	0.1%
600	1	0.1%
550	2	0.2%
500	2	0.2%
450	2	0.2%

Processing Method
Categorical

MISSING

Distinct	5
Distinct (%)	0.4%
Missing	152
Missing (%)	11.6%
Memory size	10.4 KiB

Washed / Wet	812
Natural / Dry	251
Semi-washed / Semi-pulped	56
Other	26
Pulped natural / honey	14

Length

Max length	25
Median length	12
Mean length	12.80845557
Min length	5

Characters and Unicode

Total characters	14845
Distinct characters	25
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Washed / Wet
2nd row	Washed / Wet
3rd row	Natural / Dry
4th row	Washed / Wet
5th row	Natural / Dry

Value	Count	Frequency (%)
Washed / Wet	812	61.9%
Natural / Dry	251	19.1%
Semi-washed / Semi-pulped	56	4.3%
Other	26	2.0%
Pulped natural / honey	14	1.1%
(Missing)	152	11.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
	1133	32.9%
washed	812	23.6%
wet	812	23.6%
natural	265	7.7%
dry	251	7.3%
semi-pulped	56	1.6%
semi-washed	56	1.6%
other	26	0.8%
honey	14	0.4%
pulped	14	0.4%

Most occurring characters

Value	Count	Frequency (%)
	2280	15.4%
e	1902	12.8%
W	1624	10.9%
a	1398	9.4%
/	1133	7.6%
t	1103	7.4%
d	938	6.3%
h	908	6.1%
s	868	5.8%
r	542	3.7%
Other values (15)	2149	14.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9042	60.9%
Space Separator	2280	15.4%
Uppercase Letter	2278	15.3%
Other Punctuation	1133	7.6%
Dash Punctuation	112	0.8%

Most frequent character per category

Value	Count	Frequency (%)
e	1902	21.0%
a	1398	15.5%
t	1103	12.2%
d	938	10.4%
h	908	10.0%
s	868	9.6%
r	542	6.0%
u	335	3.7%
l	335	3.7%
y	265	2.9%
Other values (6)	448	5.0%

Value	Count	Frequency (%)
W	1624	71.3%
N	251	11.0%
D	251	11.0%
S	112	4.9%
O	26	1.1%
P	14	0.6%

Value	Count	Frequency (%)
	2280	100.0%

Value	Count	Frequency (%)
/	1133	100.0%

Value	Count	Frequency (%)
-	112	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11320	76.3%
Common	3525	23.7%

Most frequent character per script

Value	Count	Frequency (%)
e	1902	16.8%
W	1624	14.3%
a	1398	12.3%
t	1103	9.7%
d	938	8.3%
h	908	8.0%
s	868	7.7%
r	542	4.8%
u	335	3.0%
l	335	3.0%
Other values (12)	1367	12.1%

Value	Count	Frequency (%)
	2280	64.7%
/	1133	32.1%
-	112	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14845	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	2280	15.4%
e	1902	12.8%
W	1624	10.9%
a	1398	9.4%
/	1133	7.6%
t	1103	7.4%
d	938	6.3%
h	908	6.1%
s	868	5.8%
r	542	3.7%
Other values (15)	2149	14.5%

Aroma
Real number (ℝ_≥0)

Distinct	33
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.563806255
Minimum	0
Maximum	8.75
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	7.08
Q1	7.42
median	7.58
Q3	7.75
95-th percentile	8.08
Maximum	8.75
Range	8.75
Interquartile range (IQR)	0.33

Descriptive statistics

Standard deviation	0.3786663084
Coefficient of variation (CV)	0.05006293071
Kurtosis	122.3780996
Mean	7.563806255
Median Absolute Deviation (MAD)	0.17
Skewness	-6.306325975
Sum	9916.15
Variance	0.1433881731
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
7.67	173	13.2%
7.5	163	12.4%
7.58	149	11.4%
7.75	122	9.3%
7.42	121	9.2%
7.83	101	7.7%
7.33	96	7.3%
7.25	78	5.9%
7.92	57	4.3%
7.17	45	3.4%
Other values (23)	206	15.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
5.08	1	0.1%
6.17	1	0.1%
6.33	1	0.1%
6.42	1	0.1%

Value	Count	Frequency (%)
8.75	1	0.1%
8.67	2	0.2%
8.58	1	0.1%
8.5	3	0.2%
8.42	9	0.7%

Flavor
Real number (ℝ_≥0)

Distinct	35
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.518070175
Minimum	0
Maximum	8.83
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	6.92
Q1	7.33
median	7.58
Q3	7.75
95-th percentile	8
Maximum	8.83
Range	8.83
Interquartile range (IQR)	0.42

Descriptive statistics

Standard deviation	0.3999792147
Coefficient of variation (CV)	0.05320237845
Kurtosis	95.17293404
Mean	7.518070175
Median Absolute Deviation (MAD)	0.17
Skewness	-5.223511929
Sum	9856.19
Variance	0.1599833722
Monotocity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
7.5	164	12.5%
7.58	162	12.4%
7.67	145	11.1%
7.75	120	9.2%
7.42	114	8.7%
7.33	110	8.4%
7.83	85	6.5%
7.25	64	4.9%
7.17	56	4.3%
7.92	42	3.2%
Other values (25)	249	19.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
6.08	1	0.1%
6.17	2	0.2%
6.33	3	0.2%
6.42	1	0.1%

Value	Count	Frequency (%)
8.83	1	0.1%
8.67	4	0.3%
8.58	2	0.2%
8.5	5	0.4%
8.42	5	0.4%

Aftertaste
Real number (ℝ_≥0)

Distinct	35
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.397696415
Minimum	0
Maximum	8.67
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	6.83
Q1	7.25
median	7.42
Q3	7.58
95-th percentile	7.92
Maximum	8.67
Range	8.67
Interquartile range (IQR)	0.33

Descriptive statistics

Standard deviation	0.4051186267
Coefficient of variation (CV)	0.05476280776
Kurtosis	84.64494842
Mean	7.397696415
Median Absolute Deviation (MAD)	0.17
Skewness	-4.845055274
Sum	9698.38
Variance	0.1641211017
Monotocity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
7.5	162	12.4%
7.33	150	11.4%
7.42	127	9.7%
7.58	125	9.5%
7.25	103	7.9%
7.67	99	7.6%
7.17	90	6.9%
7.75	81	6.2%
7	62	4.7%
7.83	61	4.7%
Other values (25)	251	19.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
6.17	8	0.6%
6.25	1	0.1%
6.33	6	0.5%
6.42	4	0.3%

Value	Count	Frequency (%)
8.67	1	0.1%
8.58	2	0.2%
8.5	4	0.3%
8.42	3	0.2%
8.33	2	0.2%

Acidity
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.533112128
Minimum	0
Maximum	8.75
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	7.33
median	7.5
Q3	7.75
95-th percentile	8.08
Maximum	8.75
Range	8.75
Interquartile range (IQR)	0.42

Descriptive statistics

Standard deviation	0.3815987887
Coefficient of variation (CV)	0.0506561939
Kurtosis	116.272077
Mean	7.533112128
Median Absolute Deviation (MAD)	0.17
Skewness	-5.967873549
Sum	9875.91
Variance	0.1456176355
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
7.5	160	12.2%
7.58	150	11.4%
7.67	143	10.9%
7.42	127	9.7%
7.75	122	9.3%
7.33	110	8.4%
7.25	86	6.6%
7.17	73	5.6%
7.83	72	5.5%
8	47	3.6%
Other values (21)	221	16.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
5.25	1	0.1%
6.08	1	0.1%
6.25	1	0.1%
6.5	1	0.1%

Value	Count	Frequency (%)
8.75	1	0.1%
8.58	1	0.1%
8.5	7	0.5%
8.42	6	0.5%
8.33	9	0.7%

Body
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.517726926
Minimum	0
Maximum	8.58
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	7.08
Q1	7.33
median	7.5
Q3	7.67
95-th percentile	8
Maximum	8.58
Range	8.58
Interquartile range (IQR)	0.34

Descriptive statistics

Standard deviation	0.3592129078
Coefficient of variation (CV)	0.04778211704
Kurtosis	146.9094945
Mean	7.517726926
Median Absolute Deviation (MAD)	0.17
Skewness	-7.15543723
Sum	9855.74
Variance	0.1290339132
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
7.5	198	15.1%
7.67	149	11.4%
7.58	136	10.4%
7.33	131	10.0%
7.42	125	9.5%
7.75	108	8.2%
7.25	86	6.6%
7.83	82	6.3%
7.17	68	5.2%
7.92	48	3.7%
Other values (21)	180	13.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
5.25	1	0.1%
6.33	2	0.2%
6.42	1	0.1%
6.5	1	0.1%

Value	Count	Frequency (%)
8.58	1	0.1%
8.5	3	0.2%
8.42	3	0.2%
8.33	6	0.5%
8.25	5	0.4%

Balance
Real number (ℝ_≥0)

Distinct	32
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.517505721
Minimum	0
Maximum	8.75
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	6.92
Q1	7.33
median	7.5
Q3	7.75
95-th percentile	8.08
Maximum	8.75
Range	8.75
Interquartile range (IQR)	0.42

Descriptive statistics

Standard deviation	0.4063159224
Coefficient of variation (CV)	0.05404930006
Kurtosis	89.1182623
Mean	7.517505721
Median Absolute Deviation (MAD)	0.17
Skewness	-4.844280103
Sum	9855.45
Variance	0.1650926288
Monotocity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
7.5	172	13.1%
7.67	145	11.1%
7.58	127	9.7%
7.42	120	9.2%
7.75	103	7.9%
7.33	99	7.6%
7.83	98	7.5%
7.17	71	5.4%
7.25	64	4.9%
7	46	3.5%
Other values (22)	266	20.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
6.08	1	0.1%
6.17	3	0.2%
6.33	1	0.1%
6.42	1	0.1%

Value	Count	Frequency (%)
8.75	2	0.2%
8.58	7	0.5%
8.5	7	0.5%
8.42	7	0.5%
8.33	7	0.5%

Uniformity
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.833394355
Minimum	0
Maximum	10
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	8.67
Q1	10
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5593431229
Coefficient of variation (CV)	0.05688199849
Kurtosis	84.1523048
Mean	9.833394355
Median Absolute Deviation (MAD)	0
Skewness	-6.926117322
Sum	12891.58
Variance	0.3128647291
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
10	1128	86.0%
9.33	112	8.5%
8.67	31	2.4%
8	25	1.9%
6.67	7	0.5%
6	3	0.2%
7.33	2	0.2%
0	1	0.1%
9	1	0.1%
9.5	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
6	3	0.2%
6.67	7	0.5%
7.33	2	0.2%
8	25	1.9%

Value	Count	Frequency (%)
10	1128	86.0%
9.5	1	0.1%
9.33	112	8.5%
9	1	0.1%
8.67	31	2.4%

Clean.Cup
Real number (ℝ_≥0)

Distinct	11
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.833119756
Minimum	0
Maximum	10
Zeros	2
Zeros (%)	0.2%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	9.33
Q1	10
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.7713497341
Coefficient of variation (CV)	0.07844404963
Kurtosis	69.17317576
Mean	9.833119756
Median Absolute Deviation (MAD)	0
Skewness	-7.377824205
Sum	12891.22
Variance	0.5949804124
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
10	1194	91.1%
9.33	58	4.4%
8.67	16	1.2%
8	13	1.0%
6.67	13	1.0%
6	6	0.5%
5.33	3	0.2%
7.33	3	0.2%
0	2	0.2%
2.67	2	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	0.2%
1.33	1	0.1%
2.67	2	0.2%
5.33	3	0.2%
6	6	0.5%

Value	Count	Frequency (%)
10	1194	91.1%
9.33	58	4.4%
8.67	16	1.2%
8	13	1.0%
7.33	3	0.2%

Sweetness
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.903272311
Minimum	0
Maximum	10
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	9.33
Q1	10
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.530831741
Coefficient of variation (CV)	0.05360165048
Kurtosis	157.5282853
Mean	9.903272311
Median Absolute Deviation (MAD)	0
Skewness	-10.75633154
Sum	12983.19
Variance	0.2817823372
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
10	1218	92.9%
9.33	61	4.7%
8.67	12	0.9%
8	8	0.6%
6.67	7	0.5%
6	3	0.2%
0	1	0.1%
1.33	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
1.33	1	0.1%
6	3	0.2%
6.67	7	0.5%
8	8	0.6%

Value	Count	Frequency (%)
10	1218	92.9%
9.33	61	4.7%
8.67	12	0.9%
8	8	0.6%
6.67	7	0.5%

Cupper.Points
Real number (ℝ_≥0)

Distinct	42
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.497864226
Minimum	0
Maximum	10
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	6.83
Q1	7.25
median	7.5
Q3	7.75
95-th percentile	8.08
Maximum	10
Range	10
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.4746100206
Coefficient of variation (CV)	0.06329936183
Kurtosis	50.15643051
Mean	7.497864226
Median Absolute Deviation (MAD)	0.25
Skewness	-2.83887447
Sum	9829.7
Variance	0.2252546716
Monotocity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
7.5	152	11.6%
7.58	136	10.4%
7.33	114	8.7%
7.67	113	8.6%
7.42	103	7.9%
7.25	85	6.5%
7.75	84	6.4%
7.83	81	6.2%
7.17	63	4.8%
7.92	52	4.0%
Other values (32)	328	25.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
5.17	1	0.1%
5.25	1	0.1%
5.42	1	0.1%
6	1	0.1%

Value	Count	Frequency (%)
10	4	0.3%
9.25	1	0.1%
9	1	0.1%
8.83	1	0.1%
8.75	1	0.1%

Total.Cup.Points
Real number (ℝ_≥0)

Distinct	178
Distinct (%)	13.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	82.11592677
Minimum	0
Maximum	90.58
Zeros	1
Zeros (%)	0.1%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	77.92
Q1	81.17
median	82.5
Q3	83.67
95-th percentile	85.5
Maximum	90.58
Range	90.58
Interquartile range (IQR)	2.5

Descriptive statistics

Standard deviation	3.515760681
Coefficient of variation (CV)	0.04281460149
Kurtosis	229.2566405
Mean	82.11592677
Median Absolute Deviation (MAD)	1.25
Skewness	-10.52961736
Sum	107653.98
Variance	12.36057317
Monotocity	Decreasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
83.17	38	2.9%
83	37	2.8%
82.42	31	2.4%
82.33	29	2.2%
82.75	29	2.2%
82.67	26	2.0%
82.92	26	2.0%
81.83	26	2.0%
81.67	25	1.9%
83.25	24	1.8%
Other values (168)	1020	77.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
59.83	1	0.1%
63.08	1	0.1%
67.92	1	0.1%
68.33	1	0.1%

Value	Count	Frequency (%)
90.58	1	0.1%
89.92	1	0.1%
89.75	1	0.1%
89	1	0.1%
88.83	2	0.2%

Moisture
Real number (ℝ_≥0)

ZEROS

Distinct	23
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.08886346301
Minimum	0
Maximum	0.28
Zeros	252
Zeros (%)	19.2%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.09
median	0.11
Q3	0.12
95-th percentile	0.13
Maximum	0.28
Range	0.28
Interquartile range (IQR)	0.03

Descriptive statistics

Standard deviation	0.0479567757
Coefficient of variation (CV)	0.539668094
Kurtosis	-0.09626774409
Mean	0.08886346301
Median Absolute Deviation (MAD)	0.01
Skewness	-1.010997245
Sum	116.5
Variance	0.002299852336
Monotocity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0.11	381	29.1%
0.12	284	21.7%
0	252	19.2%
0.1	180	13.7%
0.13	75	5.7%
0.09	26	2.0%
0.14	23	1.8%
0.08	16	1.2%
0.01	15	1.1%
0.05	8	0.6%
Other values (13)	51	3.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	252	19.2%
0.01	15	1.1%
0.02	7	0.5%
0.03	4	0.3%
0.04	4	0.3%

Value	Count	Frequency (%)
0.28	1	0.1%
0.22	1	0.1%
0.21	1	0.1%
0.2	3	0.2%
0.18	2	0.2%

Category.One.Defects
Real number (ℝ_≥0)

ZEROS

Distinct	16
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.4263920671
Minimum	0
Maximum	31
Zeros	1111
Zeros (%)	84.7%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	31
Range	31
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.832415257
Coefficient of variation (CV)	4.297489092
Kurtosis	142.6271965
Mean	0.4263920671
Median Absolute Deviation (MAD)	0
Skewness	10.24033867
Sum	559
Variance	3.357745675
Monotocity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	1111	84.7%
1	101	7.7%
2	38	2.9%
3	18	1.4%
4	16	1.2%
5	9	0.7%
10	4	0.3%
6	3	0.2%
7	3	0.2%
31	2	0.2%
Other values (6)	6	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1111	84.7%
1	101	7.7%
2	38	2.9%
3	18	1.4%
4	16	1.2%

Value	Count	Frequency (%)
31	2	0.2%
23	1	0.1%
15	1	0.1%
12	1	0.1%
11	1	0.1%

Quakers
Real number (ℝ_≥0)

ZEROS

Distinct	11
Distinct (%)	0.8%
Missing	1
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%

Mean	0.1770992366
Minimum	0
Maximum	11
Zeros	1216
Zeros (%)	92.8%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	11
Range	11
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8405830206
Coefficient of variation (CV)	4.746395504
Kurtosis	57.04544909
Mean	0.1770992366
Median Absolute Deviation (MAD)	0
Skewness	6.860056999
Sum	232
Variance	0.7065798144
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	1216	92.8%
1	39	3.0%
2	30	2.3%
3	5	0.4%
5	5	0.4%
4	5	0.4%
6	4	0.3%
7	3	0.2%
9	1	0.1%
11	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1216	92.8%
1	39	3.0%
2	30	2.3%
3	5	0.4%
4	5	0.4%

Value	Count	Frequency (%)
11	1	0.1%
9	1	0.1%
8	1	0.1%
7	3	0.2%
6	4	0.3%

Category.Two.Defects
Real number (ℝ_≥0)

ZEROS

Distinct	38
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.591914569
Minimum	0
Maximum	55
Zeros	362
Zeros (%)	27.6%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	4
95-th percentile	13
Maximum	55
Range	55
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	5.350370915
Coefficient of variation (CV)	1.489559624
Kurtosis	19.81773785
Mean	3.591914569
Median Absolute Deviation (MAD)	2
Skewness	3.648565295
Sum	4709
Variance	28.62646893
Monotocity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
0	362	27.6%
1	200	15.3%
2	178	13.6%
3	133	10.1%
4	118	9.0%
5	73	5.6%
6	42	3.2%
7	39	3.0%
8	29	2.2%
9	22	1.7%
Other values (28)	115	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	362	27.6%
1	200	15.3%
2	178	13.6%
3	133	10.1%
4	118	9.0%

Value	Count	Frequency (%)
55	1	0.1%
47	1	0.1%
45	1	0.1%
40	1	0.1%
38	1	0.1%

altitude_low_meters
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	188
Distinct (%)	17.3%
Missing	227
Missing (%)	17.3%
Infinite	0
Infinite (%)	0.0%

Mean	1759.548954
Minimum	1
Maximum	190164
Zeros	0
Zeros (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	1
5-th percentile	442
Q1	1100
median	1310.64
Q3	1600
95-th percentile	1850
Maximum	190164
Range	190163
Interquartile range (IQR)	500

Descriptive statistics

Standard deviation	8767.847252
Coefficient of variation (CV)	4.983008419
Kurtosis	414.4721807
Mean	1759.548954
Median Absolute Deviation (MAD)	239.36
Skewness	20.0978744
Sum	1907351.066
Variance	76875145.44
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1200	80	6.1%
1600	65	5.0%
1400	59	4.5%
1100	55	4.2%
1500	54	4.1%
1300	48	3.7%
1800	41	3.1%
1250	38	2.9%
1700	36	2.7%
1550	31	2.4%
Other values (178)	577	44.0%
(Missing)	227	17.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	14	1.1%
12	3	0.2%
13	2	0.2%
50	1	0.1%
100	2	0.2%

Value	Count	Frequency (%)
190164	2	0.2%
110000	1	0.1%
11000	1	0.1%
4287	1	0.1%
4001	1	0.1%

altitude_high_meters
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	188
Distinct (%)	17.3%
Missing	227
Missing (%)	17.3%
Infinite	0
Infinite (%)	0.0%

Mean	1808.843803
Minimum	1
Maximum	190164
Zeros	0
Zeros (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	1
5-th percentile	442
Q1	1100
median	1350
Q3	1650
95-th percentile	1950
Maximum	190164
Range	190163
Interquartile range (IQR)	550

Descriptive statistics

Standard deviation	8767.187498
Coefficient of variation (CV)	4.846846081
Kurtosis	414.1442992
Mean	1808.843803
Median Absolute Deviation (MAD)	250
Skewness	20.08565748
Sum	1960786.682
Variance	76863576.63
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1200	65	5.0%
1400	63	4.8%
1100	54	4.1%
1500	51	3.9%
1800	44	3.4%
1300	44	3.4%
1700	42	3.2%
1250	39	3.0%
1600	34	2.6%
1950	33	2.5%
Other values (178)	615	46.9%
(Missing)	227	17.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	12	0.9%
12	3	0.2%
13	2	0.2%
50	1	0.1%
100	1	0.1%

Value	Count	Frequency (%)
190164	2	0.2%
110000	1	0.1%
11000	1	0.1%
5900	1	0.1%
4287	1	0.1%

altitude_mean_meters
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	201
Distinct (%)	18.5%
Missing	227
Missing (%)	17.3%
Infinite	0
Infinite (%)	0.0%

Mean	1784.196379
Minimum	1
Maximum	190164
Zeros	0
Zeros (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	1
5-th percentile	442
Q1	1100
median	1310.64
Q3	1600
95-th percentile	1880
Maximum	190164
Range	190163
Interquartile range (IQR)	500

Descriptive statistics

Standard deviation	8767.016913
Coefficient of variation (CV)	4.913706259
Kurtosis	414.4034975
Mean	1784.196379
Median Absolute Deviation (MAD)	239.36
Skewness	20.09518078
Sum	1934068.874
Variance	76860585.55
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1200	66	5.0%
1100	52	4.0%
1400	52	4.0%
1300	50	3.8%
1500	44	3.4%
1250	39	3.0%
1700	36	2.7%
1600	35	2.7%
1550	34	2.6%
1750	34	2.6%
Other values (191)	642	49.0%
(Missing)	227	17.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	12	0.9%
12	3	0.2%
13	2	0.2%
50	1	0.1%
100	1	0.1%

Value	Count	Frequency (%)
190164	2	0.2%
110000	1	0.1%
11000	1	0.1%
4287	1	0.1%
4001	1	0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Country of Origin	Producer	Number.of.Bags	Processing Method	Aroma	Flavor	Aftertaste	Acidity	Body	Balance	Uniformity	Clean.Cup	Sweetness	Cupper.Points	Total.Cup.Points	Moisture	Category.Two.Defects	altitude_low_meters	altitude_high_meters	altitude_mean_meters
0	Ethiopia	METAD PLC	300	Washed / Wet	8.67	8.83	8.67	8.75	8.50	8.42	10.00	10.0	10.00	8.75	90.58	0.12	0	1950.0	2200.0	2075.0
1	Ethiopia	METAD PLC	300	Washed / Wet	8.75	8.67	8.50	8.58	8.42	8.42	10.00	10.0	10.00	8.58	89.92	0.12	1	1950.0	2200.0	2075.0
2	Guatemala	NaN	5	NaN	8.42	8.50	8.42	8.42	8.33	8.42	10.00	10.0	10.00	9.25	89.75	0.00	0	1600.0	1800.0	1700.0
3	Ethiopia	Yidnekachew Dabessa Coffee Plantation	320	Natural / Dry	8.17	8.58	8.42	8.42	8.50	8.25	10.00	10.0	10.00	8.67	89.00	0.11	2	1800.0	2200.0	2000.0
4	Ethiopia	METAD PLC	300	Washed / Wet	8.25	8.50	8.25	8.50	8.42	8.33	10.00	10.0	10.00	8.58	88.83	0.12	2	1950.0	2200.0	2075.0
5	Brazil	NaN	100	Natural / Dry	8.58	8.42	8.42	8.50	8.25	8.33	10.00	10.0	10.00	8.33	88.83	0.11	1	NaN	NaN	NaN
6	Peru	HVC	100	Washed / Wet	8.42	8.50	8.33	8.50	8.25	8.25	10.00	10.0	10.00	8.50	88.75	0.11	0	NaN	NaN	NaN
7	Ethiopia	Bazen Agricultural & Industrial Dev't Plc	300	NaN	8.25	8.33	8.50	8.42	8.33	8.50	10.00	10.0	9.33	9.00	88.67	0.03	0	1570.0	1700.0	1635.0
8	Ethiopia	Bazen Agricultural & Industrial Dev't Plc	300	NaN	8.67	8.67	8.58	8.42	8.33	8.42	9.33	10.0	9.33	8.67	88.42	0.03	0	1570.0	1700.0	1635.0
9	Ethiopia	Diamond Enterprise Plc	50	Natural / Dry	8.08	8.58	8.50	8.50	7.67	8.42	10.00	10.0	10.00	8.50	88.25	0.10	4	1795.0	1850.0	1822.5

Last rows

	Country of Origin	Producer	Number.of.Bags	Processing Method	Aroma	Flavor	Aftertaste	Acidity	Body	Balance	Uniformity	Clean.Cup	Sweetness	Cupper.Points	Total.Cup.Points	Moisture	Category.One.Defects	Quakers	Category.Two.Defects	altitude_low_meters	altitude_high_meters	altitude_mean_meters
1301	Mexico	various small producers	280	Washed / Wet	6.92	7.00	6.83	6.92	7.42	6.92	6.00	6.00	10.00	6.75	70.75	0.12	0	0.0	1	1000.00	1000.00	1000.00
1302	Brazil	NaN	305	Natural / Dry	7.00	7.00	6.83	7.00	7.33	6.83	6.00	6.00	10.00	6.67	70.67	0.11	0	1.0	55	NaN	NaN	NaN
1303	Honduras	Omar Acosta	275	Washed / Wet	6.67	6.50	6.17	6.67	6.83	6.17	8.00	8.00	8.00	6.33	69.33	0.10	0	0.0	4	1450.00	1450.00	1450.00
1304	Honduras	Omar Acosta	275	Washed / Wet	7.00	6.17	6.17	6.67	6.50	6.17	8.00	8.00	8.00	6.50	69.17	0.10	0	0.0	3	1450.00	1450.00	1450.00
1305	Honduras	Omar Acosta	275	Washed / Wet	7.00	6.33	6.17	6.50	6.67	6.17	8.00	8.00	8.00	6.33	69.17	0.10	0	0.0	4	1450.00	1450.00	1450.00
1306	Mexico	JUAN CARLOS GARCÍA LOPEZ	12	Washed / Wet	7.08	6.83	6.25	7.42	7.25	6.75	10.00	0.00	10.00	6.75	68.33	0.11	0	0.0	20	900.00	900.00	900.00
1307	Haiti	COEB Koperativ Ekselsyo Basen	1	Natural / Dry	6.75	6.58	6.42	6.67	7.08	6.67	9.33	6.00	6.00	6.42	67.92	0.14	8	0.0	16	350.00	350.00	350.00
1308	Nicaragua	Teófilo Narváez	550	Other	7.25	6.58	6.33	6.25	6.42	6.08	6.00	6.00	6.00	6.17	63.08	0.13	1	0.0	5	1100.00	1100.00	1100.00
1309	Guatemala	WILLIAM ESTUARDO MARTINEZ PACHECO	275	Washed / Wet	7.50	6.67	6.67	7.67	7.33	6.67	8.00	1.33	1.33	6.67	59.83	0.10	0	0.0	4	1417.32	1417.32	1417.32
1310	Honduras	Reinerio Zepeda	275	NaN	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.12	0	0.0	2	1400.00	1400.00	1400.00

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows